-
Creating Your First Dashboard
Connecting to a new database Registering a new table Customizing column properties Superset semantic layer Creating charts in Explore view Creating a slice and ... -
Clustering
Background How is compaction different from clustering? Clustering Architecture Overall, there are 2 steps to clustering Schedule clustering Execute clustering Clustering Use... -
MySQL
Description Support Mysql Version Support Those Engines Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Supported DataSource Info Database De... -
Postgre CDC
Support Those Engines Key features Description Supported DataSource Info Using Dependency Install Jdbc Driver For Spark/Flink Engine For SeaTunnel Zeta Engine Data Type Map... -
SQL Server
Support SQL Server Version Support Those Engines Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Description Supported DataSource Info Databa... -
Caching
Dependencies Fallback Metastore Cache Chart Cache Timeout SQL Lab Query Results Caching Thumbnails Superset uses Flask-Caching for caching purposes. Flask-Caching supports v... -
Creating your first interoperable table
Pre-requisites Steps Initialize a pyspark shell Create dataset Running sync Conclusion Next steps Using OneTable to sync your source tables in different target format invo... -
Table Design
Basic Table RowID Design Lexicoders Indexing Entity-Attribute and Graph Tables Document-Partitioned Indexing Basic Table Since Accumulo tables are sorted by row ID, each ta... -
Introduction
User experience Reliability and performance Open standard Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including S... -
Hive Metastore
Syncing to Hive Metastore Pre-requisites Steps Running sync Register the target table in Hive Metastore Conclusion Syncing to Hive Metastore This document walks through the...
